Triple

T7884530
Position Surface form Disambiguated ID Type / Status
Subject Blue Area Islamabad E183068 entity
Predicate locatedOn P40 FINISHED
Object Jinnah Avenue E184859 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jinnah Avenue | Statement: [Blue Area Islamabad, locatedOn, Jinnah Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinnah Avenue
Context triple: [Blue Area Islamabad, locatedOn, Jinnah Avenue]
  • A. Jinnah Avenue chosen
    Jinnah Avenue is a major commercial and business thoroughfare in Islamabad, Pakistan, lined with offices, shopping centers, and prominent landmarks.
  • B. M.A. Jinnah Road
    M.A. Jinnah Road is one of Karachi’s main historic and commercial thoroughfares, lined with markets, colonial-era buildings, and key civic landmarks.
  • C. Shahjahan Road
    Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
  • D. Bağdat Avenue
    Bağdat Avenue is a major upscale shopping and residential boulevard on Istanbul’s Asian side, known for its luxury boutiques, cafes, and vibrant street life.
  • E. Al Majlis Street
    Al Majlis Street is a road in Dubai located near Zabeel Park, serving as part of the local access network around this major urban green space.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39d4d09481909a61037243397eff completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b9286c881909ec01cb899e71d42 completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:59 p.m.